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J E Pryce

Showing results (31-40 of 108) with videos related to

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Journal of Dairy Science|March 16, 2015
Including overseas performance information in genomic evaluations of Australian dairy cattleM Haile-Mariam, J E Pryce, C Schrooten, et al.
Journal of Dairy Science|July 31, 2002
Genetic relationships between calving interval and body condition score conditional on milk yieldJ E Pryce, M P Coffey, S H Brotherstone, et al.
Journal of Dairy Science|October 23, 2010
Deterministic models of breeding scheme designs that incorporate genomic selectionJ E Pryce, M E Goddard, H W Raadsma, et al.
Journal of Dairy Science|October 22, 2013
The effect of changing cow production and fitness traits on net income and greenhouse gas emissions from Australian dairy systemsM J Bell, R J Eckard, M Haile-Mariam, et al.
Journal of Dairy Science|September 10, 2019
Classifying the fertility of dairy cows using milk mid-infrared spectroscopyP N Ho, V Bonfatti, T D W Luke, et al.
Journal of Dairy Science|April 1, 2014
Incorporating heifer feed efficiency in the Australian selection index using genomic selectionO Gonzalez-Recio, J E Pryce, M Haile-Mariam, et al.
Journal of Dairy Science|February 11, 2020
Diagnosing the pregnancy status of dairy cows: How useful is milk mid-infrared spectroscopy?P Delhez, P N Ho, N Gengler, et al.
Journal of Dairy Science|August 29, 2021
How genomic selection has increased rates of genetic gain and inbreeding in the Australian national herd, genomic information nucleus, and bullsB A Scott, M Haile-Mariam, B G Cocks, et al.
JDS Communications|November 7, 2022
Genetic parameters for mid-infrared spectroscopy-predicted fertilityI van den Berg, P N Ho, M Haile-Mariam, et al.
Journal of Dairy Science|May 20, 2014
Short communication: Heterosis by environment and genotype by environment interactions for protein yield in Danish JerseysE Norberg, P Madsen, G Su, et al.
Pageof 11

Showing results (31-40 of 108) with videos related to

Sort By:
Pageof 11
Journal of Dairy Science|March 16, 2015
Including overseas performance information in genomic evaluations of Australian dairy cattleM Haile-Mariam, J E Pryce, C Schrooten, et al.
Journal of Dairy Science|July 31, 2002
Genetic relationships between calving interval and body condition score conditional on milk yieldJ E Pryce, M P Coffey, S H Brotherstone, et al.
Journal of Dairy Science|October 23, 2010
Deterministic models of breeding scheme designs that incorporate genomic selectionJ E Pryce, M E Goddard, H W Raadsma, et al.
Journal of Dairy Science|October 22, 2013
The effect of changing cow production and fitness traits on net income and greenhouse gas emissions from Australian dairy systemsM J Bell, R J Eckard, M Haile-Mariam, et al.
Journal of Dairy Science|September 10, 2019
Classifying the fertility of dairy cows using milk mid-infrared spectroscopyP N Ho, V Bonfatti, T D W Luke, et al.
Journal of Dairy Science|April 1, 2014
Incorporating heifer feed efficiency in the Australian selection index using genomic selectionO Gonzalez-Recio, J E Pryce, M Haile-Mariam, et al.
Journal of Dairy Science|February 11, 2020
Diagnosing the pregnancy status of dairy cows: How useful is milk mid-infrared spectroscopy?P Delhez, P N Ho, N Gengler, et al.
Journal of Dairy Science|August 29, 2021
How genomic selection has increased rates of genetic gain and inbreeding in the Australian national herd, genomic information nucleus, and bullsB A Scott, M Haile-Mariam, B G Cocks, et al.
JDS Communications|November 7, 2022
Genetic parameters for mid-infrared spectroscopy-predicted fertilityI van den Berg, P N Ho, M Haile-Mariam, et al.
Journal of Dairy Science|May 20, 2014
Short communication: Heterosis by environment and genotype by environment interactions for protein yield in Danish JerseysE Norberg, P Madsen, G Su, et al.
Pageof 11